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Neo4j kernel is a lightweight, embedded Java database designed to
store data structured as graphs rather than tables. For more
information, see http://neo4j.org.
/*
* Copyright (c) "Neo4j"
* Neo4j Sweden AB [https://neo4j.com]
*
* This file is part of Neo4j.
*
* Neo4j is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
*/
package org.neo4j.kernel.impl.newapi;
import java.util.concurrent.atomic.AtomicInteger;
import org.neo4j.internal.helpers.MathUtil;
import org.neo4j.internal.kernel.api.Cursor;
import org.neo4j.internal.kernel.api.PartitionedScan;
import org.neo4j.util.Preconditions;
abstract class PartitionedEntityCursorScan implements PartitionedScan {
final S storageScan;
private final int numberOfPartitions;
private final long batchSize;
private final AtomicInteger emittedPartitions;
PartitionedEntityCursorScan(S storageScan, int desiredNumberOfPartitions, long totalCount) {
Preconditions.requirePositive(desiredNumberOfPartitions);
this.storageScan = storageScan;
if (desiredNumberOfPartitions < totalCount) {
this.numberOfPartitions = desiredNumberOfPartitions;
} else {
this.numberOfPartitions = Math.max((int) totalCount, 1);
}
this.batchSize = MathUtil.ceil(totalCount, numberOfPartitions);
this.emittedPartitions = new AtomicInteger(0);
}
@Override
public int getNumberOfPartitions() {
return numberOfPartitions;
}
long computeBatchSize() {
// We make the last batch infinitely big in order to not miss any nodes that has been committed while the scan
// is in progress.
// This means that the last partition can potentially be bigger than the preceding partitions.
return emittedPartitions.getAndIncrement() == numberOfPartitions - 1 ? Long.MAX_VALUE : batchSize;
}
}